Spectral AI Reaches 50% Enrollment at Burn Centers for U.S. Pivotal Burn Study

DALLAS, June 06, 2024 (GLOBE NEWSWIRE) -- Spectral AI, Inc. (Nasdaq: MDAI) (โ€œSpectral AIโ€ or the โ€œCompanyโ€), an artificial intelligence (AI) company focused on medical diagnostics for faster and more accurate treatment decisions in wound care, today announced that it has achieved 50% clinical trial site enrollment at burn centers for its 2024 pivotal study designed to validate the algorithm used by its DeepViewโ„ข System for burn indication. This pivotal study, which is targeting enrollment of 240 patients, including both adult and pediatric subjects at multiple burn centers and emergency departments across the U.S., is expected to be the final clinical trial before seeking FDA approval in 2025.

The completion of the pivotal study will address two primary objectives. First, the study will validate the standalone performance of the DeepViewโ„ข Systemโ€™s algorithm on an independent dataset, further solidifying its objective utility in clinical practice. Second, the study will compare the efficacy of the DeepViewโ„ข System's finalized image processing algorithm against existing clinician assessment, as quantified by clinician judgment annotations.

โ€œWe are committed to advancing burn care through the implementation of innovative technologies and rigorous clinical research. Our objective is to deliver to healthcare providers the cutting-edge tools they need to enhance their ability to immediately and accurately assess a burn woundโ€™s healing potential,โ€ stated Mary Regan, VP of Medical Affairs at Spectral AI. โ€œWe are enthusiastic about the achievement of this enrollment milestone as we aim to demonstrate DeepViewโ€™s AI effectiveness in providing accurate wound assessments and timely clinical decision-making for burn injuries.โ€

โ€œAs clinicians, our goal is to provide the best possible care for burn patients, utilizing the latest medical advancements and techniques,โ€ said Dr. Kathleen Romanowski, Principal Investigator at one of the clinical trial sites, the UC Davis Firefighters Burn Institute Regional Burn Center. โ€œDeepView's technology has the potential to significantly enhance our ability to assess burn wounds accurately, leading to improved patient outcomes and quality of life.โ€

The Companyโ€™s DeepViewโ„ข System image processing algorithm utilizes multispectral imaging, trained and tested against a proprietary database of more than 340 billion clinically validated data points, to deliver a rapid and objective assessment that aids healthcare providers in assessing the healing potential of a burn wound. The U.S. pivotal study is currently enrolling patients at several leading burn centers in the U.S., with esteemed Principal Investigators overseeing the research.

A list of the burn centers currently enrolled in the Companyโ€™s U.S. pivotal study is below. ย ย 

ย U.S. Clinical Trial Sitesย Principal Investigator
Arizona Burn Center Valleywise Healthย ย Dr. Kevin Fosterย 
VCU Health Evans-Haynes Burn Centerย Dr. Michael Feldmanย 
St Christopherโ€™s Stuart J. Hulnick Burn Centerย Dr. Paul Glatย 
UC Davis Firefighters Burn Institute Regional Burn Centerย Dr. Kathleen Romanowskiย 
Shriners Children's Northern California Neil Reitman Pediatric Burn Instituteย Dr. Kathleen Romanowskiย 
UW Harborview Regional Burn Centerย Dr. Tam Phamย 
University of Kansas Burnett Burn Centerย Dr. Dhaval Bhavsarย 
North Carolina Jaycee Burn Centerย ย Dr. Booker Kingย 
SUNY Stony Brook Burn Centerย Dr. Adam Singerย 
Akron Childrenโ€™s Hospital Burn Instituteย Dr. Anjay Khandelwalย 
University of Iowa Burn Treatment Centerย Dr. Lucy Wibbemeyerย 
The Ohio State Comprehensive Burn Centerย Dr. Nicole Bernalย 


About Spectral AI
ย 

Spectral AI, Inc. is a Dallas-based predictive AI company focused on medical diagnostics for faster and more accurate treatment decisions in wound care, with initial applications involving patients with burns and diabetic foot ulcers. The Company is working to revolutionize the management of wound care by โ€œSeeing the Unknownยฎโ€ with its DeepView System.ย  DeepView is a predictive device that offers clinicians an objective and immediate assessment of a woundโ€™s healing potential prior to treatment or other medical intervention. With algorithm-driven results and a goal to change the current standard of care, DeepView is expected to provide faster and more accurate treatment insight towards value care by improving patient outcomes and reducing healthcare costs. For more information about DeepView, visit www.spectral-ai.com.ย 

Forward Looking Statementsย 

Certain statements made in this release are โ€œforward looking statementsโ€ within the meaning of the โ€œsafe harborโ€ provisions of the United States Private Securities Litigation Reform Act of 1995, including statements regarding the Companyโ€™s strategy, plans, objectives, initiatives and financial outlook. When used in this press release, the words โ€œestimates,โ€ โ€œprojected,โ€ โ€œexpects,โ€ โ€œanticipates,โ€ โ€œforecasts,โ€ โ€œplans,โ€ โ€œintends,โ€ โ€œbelieves,โ€ โ€œseeks,โ€ โ€œmay,โ€ โ€œwill,โ€ โ€œshould,โ€ โ€œfuture,โ€ โ€œproposeโ€ and variations of these words or similar expressions (or the negative versions of such words or expressions) are intended to identify forward-looking statements.ย 

ย These forward-looking statements are not guarantees of future performance, conditions or results, and involve a number of known and unknown risks, uncertainties, assumptions and other important factors, many of which are outside Companyโ€™s control, that could cause actual results or outcomes to differ materially from those discussed in the forward-looking statements. As such, readers are cautioned not to place undue reliance on any forward-looking statements.ย 

Investors should carefully consider the foregoing factors and the other risks and uncertainties described in the โ€œRisk Factorsโ€ sections of the Companyโ€™s filings with the SEC, including the Registration Statement and the other documents filed by the Company. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements.ย 

Contacts:ย 

Investors:ย 

The Equity Groupย 
Devin Sullivanย 
Managing Directorย 
dsullivan@equityny.comย ย 

Conor Rodriguezย 
Analystย 
crodriguez@equityny.comย 


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